Evaluation of Factors Found to Influence Urban Flood Resilience in China

Abstract

As one of the most frequently occurring natural hazards, flooding can seriously threaten global security and the sustainable development of our communities. Therefore, enhancing the resilience of cities and improving their ability to adapt to flooding have become issues of great significance. This study developed a new comprehensive evaluation model of flood resilience that includes an evaluation index system from the basis of four key dimensions of social resilience, economic resilience, ecological environment resilience and infrastructure resilience. Firstly, interpretative structural modelling (ISM) was applied to analyze the structural issues affecting urban flood resilience. Secondly, the analytic network process (ANP) was then used to calculate the importance of these indicators. Finally, taking three cities (Zhengzhou, Xi’an, and Jinan) in the Yellow River Basin of China as examples, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to evaluate their current levels of flood resilience using the findings from the earlier stages. The results show that the levels of rainfall and vulnerability of groups were the fundamental factors affecting urban flood resilience. Indicators such as average annual rainfall, fixed-asset investments, and emergency rescue capabilities were also found to have a greater impact on urban flood resilience. In the study area, Xi’an was found to have a higher level of resilience due to having strong ecological environmental resilience. These findings are expected to provide a useful reference for policymakers and stakeholders involved in the management of flooding events.

Flood Vulnerability and Resiliency in Coastal Areas Based on Geographic Information Systems (GIS) and Dynamic

“…So that it is sustainable [42], based on the resilience of several components with nonlinear interdependencies [36]. A holistic approach that integrates three indicators of social, economic, and institutional resilience, social and spatial interactions [43], and ecological environmental resilience [44].…”

Simulation Study on Rain-Flood Regulation in Urban “Gray-Green-Blue” Spaces Based on System Dynamics: A Case Study of the Guitang River Basin in Changsha

“…These include rain-induced urban waterlogging, river overflows, levee breaches, infrastructural damages, and subsequent failures in crossditch road bases, thereby posing secondary hazards to agriculture, transportation, urban development, and human health [8]. Hence, in the context of low-impact development, devising strategies to mitigate the adverse effects of rain-flood disasters on urban areas and to augment the flood resilience and recovery capabilities of urban infrastructures has become a critical concern for governments worldwide [9,10].…”

Assessing Flood Vulnerability Zones and Their Driving Factors to Guide Community-Based Resilience Planning Across Ngororero District, Rwanda

“…The study evaluated existing mitigation measures and proposed tailored strategies for enhancing community resilience, aligning with previous works on flood vulnerability assessment and resilience planning. While studies byXu et al (2023) andLeta and Adugna (2023) emphasize analytical methods and community engagement,Yang et al (2021) focused on regional resilience in China. Contrary to studies byChisty et al (2022) andIsia et al (2023), which highlighted gender disparities and vulnerability dimensions, respectively, our research delved into specific influencing factors in the Ngororero context.…”